Senior Data Scientist

About the Company

Overview

NTT DATA – a part of NTT Group – is a trusted global innovator of IT and business services headquartered in Tokyo. We help clients transform through consulting, industry solutions, business process services, digital & IT modernization, and managed services. NTT DATA enables them, as well as society, to move confidently into the digital future. We are committed to our clients’ long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe.

Website

http://www.nttdata.com

About the Role

The Senior Data Scientist is an advanced subject matter expert, tasked with taking accountability in the adoption of data science and analytics within the organization.

The primary responsibility of this role is to participate in the creation and delivery of data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques.

• Job Description

Key Responsibilities:

• Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
• Designs and enhances data collection procedures to include information that is relevant for building analytic systems.
• Responsible for ensuring that data used for analysis is processed, cleaned and, integrally verified and build algorithms necessary to find meaningful answers.
• Designs and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources
• Provides meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
• Directs scalable and highly available applications leveraging the latest tools and technologies.
• Accountable for creatively visualizing and effectively communicating results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business.
• Creates SQL queries for the analysis of data and visualizes the output of the models.
• Responsible for ensuring that industry standards best practices are applied to development activities.

Knowledge and Attributes:

• Advanced understanding of data modelling, statistical methods and machine learning techniques.
• Strong ability to thrive in a dynamic, fast-paced environment.
• Strong quantitative and qualitative analysis skills.
• Desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science.
• Curiosity to sift through data to find answers and more insights.
• Advanced understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face.
• Strong ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making.
• Strong ability to create a storyline around the data to make it easy to interpret and understand.
• Self-driven and able to work independently yet acts as a team player.

Academic Qualifications and Certifications:

• Bachelor’s degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field.
• Relevant programming certification preferred.
• Agile certification preferred.

Required experience:

• Advanced demonstrated experience in a data science position in a corporate environment and/or related industry.
• Advanced demonstrated experience in statistical modelling and data modelling, machine learning, data mining, unstructured data analytics, natural language processing.
• Advanced demonstrated experience in programming languages (R, Python, etc.).
• Advanced demonstrated experience working with and creating data architectures.
• Advanced demonstrated experience with extracting, cleaning, and transforming data and working with data owners to understand the data.
• Advanced demonstrated experience visualizing and/or presenting data for stakeholder use and reuse across the business.

Qualifications

• 15+ years total, 10+ in data and analytics, 6+ in data science
• Advanced understanding of data modelling, statistical methods and machine learning techniques
• Advanced understanding of big data, data mining and visualization techniques
• Experience in unstructured data analysis and natural language processing
• Experience in any AIOps software – Grok, Moogsoft, DataDog etc.
• Experience in different types of databases – SQL, noSQL, hierarchical databases
• Experience in data oriented programming languages R, Python etc.

Required Skills

• Work location- Bangalore
• Shift – Regular shift